a. To Do :
Build a Text Classification Model for Sentiment Analysis
b. Description : Required to build a text classification model for sentiment
analysis using a dataset of online product reviews.
c. Requirements :
i. Load the dataset and preprocess it if necessary (handle missing values,
scale features, etc).
ii. Split the dataset into training and testing sets.
iii. Implement a logistic linear regression model using libraries like scikit-learn.
iv. Train the model on the training set and evaluate its performance on the
testing set using appropriate metrics (e.g., accuracy, F1 score).
v. Visualize the regression along with the actual data points using
matplotlib or any other suitable visualization library.